关闭轴,保持刻度 [英] turn off axis, keep ticks
问题描述
我正在使用 plt.imshow() 使用 seaborn 插件绘制图像....
I am plotting an image using plt.imshow() using the seaborn add on....
from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style(style='white') #turn off grid
def plotter():
mapy = np.zeros((100,100))
pf = 2.8 #my physical pixel size
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
cmapz ='Reds'
fig = imshow(mapy,interpolation='spline16',origin='lower',cmap=cmapz,extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
plt.show()
我现在想摆脱围绕我的图的丑陋轴,但保持是指距离的刻度线.
我发现并尝试过的一切,例如plt.axis('off')
, fig.axes.get_yaxis().set_visible(False)
, plt.tick_params(top='off', bottom='on', left='off', right='off', labelleft='on', labelbottom='on')
等关闭轴和刻度.
I now want to get rid off the ugly axis around my plot, but KEEP the ticks in place as they refer to the distance.
Everything I found and tried, e.g. plt.axis('off')
, fig.axes.get_yaxis().set_visible(False)
, plt.tick_params(top='off', bottom='on', left='off', right='off', labelleft='on', labelbottom='on')
etc. turns off both the axis AND the ticks.
推荐答案
您可能决定不使用seaborn并将轴刺变为不可见:
You may decide not to use seaborn and turn the axes spines invisible:
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
import numpy as np
import matplotlib.pyplot as plt
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
plt.show()
使用rcParams可以完成相同的操作,
The same can be done, using rcParams,
s = {"axes.spines.left" : False,
"axes.spines.bottom" : False,
"axes.spines.top" : False,
"axes.spines.right" : False}
plt.rcParams.update(s)
import numpy as np
import matplotlib.pyplot as plt
s = {"axes.spines.left" : False,
"axes.spines.bottom" : False,
"axes.spines.top" : False,
"axes.spines.right" : False}
plt.rcParams.update(s)
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
plt.show()
或者,您可以将轴的边缘颜色设置为透明.
Alternatively you can set the axes edgecolor to transparent.
plt.rcParams["axes.edgecolor"]=(1,1,1,0)
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["axes.edgecolor"]=(1,1,1,0)
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
plt.show()
或者,如果您想使用seaborn(白色),还可以使用
Or, if you want to use seaborn (and it's white-style), additionally reactivate the ticks using
plt.tick_params(axis="both", which="major", length=5)
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style(style='white') #turn off grid
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
plt.tick_params(axis="both", which="major", length=5)
plt.show()
正如@mwaskom 在评论中指出的那样,Seaborn 还提供了 sns.despine()
来去除刺,然后您可以像这样调用它
As @mwaskom points out in the comments, Seaborn also offers sns.despine()
to get rid of the spines, which you would then call like
sns.despine(left=True, top=True, bottom=True, right=True)
注意双重否定(despine True 表示没有刺).
Note the double negation (despine True means not to have spines).
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style(style='white') #turn off grid
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
sns.despine(left=True, top=True, bottom=True, right=True)
plt.tick_params(axis="both", which="major", length=5)
plt.show()
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